torch to know that the model can assistance instruction on ascending. The aid status of the higher-buy APIs Employed in the model can be found listed here Supported Record.
方式一：采用即时编译装饰器jit，使能部分函数粒度表达模块以静态图模式执行。
When utilizing the HTTPS protocol, the command line will prompt for account and password verification as follows. For security motives, Gitee recommends configure and use own accessibility tokens rather than login passwords for cloning, pushing, as well as other functions. Username for '': userName
自动并行：融合了数据并行、算子级模型并行的分布式并行模式，可以自动建立代价模型，找到训练时间较短的并行策略，为用户选择合适的并行模式。仅支持在图模式下使用。
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Download the file for the platform. If you're not positive which to select, learn more about installing packages.
TorchVision interface assistance: MindTorch TorchVision is a computer eyesight Software library migrated from PyTorch's Formal implementation. It proceeds to implement PyTorch's Formal api design, and phone calls MindSpore operators for calculations to obtain a similar capabilities as the initial torchvision library.
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from mindtorch.equipment import mstorch_enable # It has to be used right before importing torch relevant modules in the key program
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MindTorch is MindSpore Instrument for adapting the PyTorch interface, that is made to make PyTorch code perform efficiently on Ascend without the need of switching the behaviors of the initial PyTorch customers.
Seek advice from the User Tutorial, you are going to immediately get going and complete the transformation from PyTorch code, and also get started with a variety of advanced optimization capabilities; More above, if you have needs for precision https://mindtorch.org/ and performance tuning, make sure you seek advice from the Debugging and Tuning Guide.
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